Advance Machine Vision and Applications
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Follow on Instagram for UpdatesAdvance Machine Vision and Applications Syllabus — Unit-wise Content
The official GTU curriculum for Advance Machine Vision and Applications (subject code 3724711) as prescribed for M · Semester 2 divides the course into 6 units, covering 32 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (3724711)Unit 1 Introduction
- Digital image fundamentals
- sampling and quantization
- various gray level transformations
- histogram processing
- image enhancement using logical operators and spatial filtering (smoothing and sharpening filters)
- Image enhancement using frequency domain (Fourier transform
- high pass and low pass filters)
- Ideal-Butter worth-Gaussian filters
- Laplacian filter
- image restoration
Unit 2 Colour Image Processing
- Colour models
- colour transformations
- smoothing and sharpening
- colour segmentation
- noise in colour image
Unit 3 Image compression
- error-free compression techniques (variable length coding
- bit plane coding)
- lossy compression
Unit 4 Morphological Image Processing
- dilation and erosion
- opening and closing
- basic morphological algorithms (boundary extraction
- region filling
- convex hull
- hit-or-miss transformation
- top hat transformation
Unit 5 Image Segmentation
- Detection of discontinuities
- edge linking and boundary detection
- region based segmentation
- segmentation by morphological water shade
Unit 6 Representation and description
- Representation techniques
- boundary descriptors
- region descriptors 5 Subject Code:3724711 w.e.f
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